Senior Data Engineer (Airflow) at WIZELINE

, , Mexico -

Full Time

Start Date

Immediate

Expiry Date

03 Mar, 26

Salary

0.0

Posted On

03 Dec, 25

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

SQL Server, Postgres, MySQL, MongoDB, DynamoDB, Talend, Informatica, Pentaho, Airflow, Power BI, Tableau, QlikView, Looker Cloud, Anaconda, Colab, SAS

Industry

IT Services and IT Consulting

Description

We are: Wizeline, a global AI-native technology solutions provider, develops cutting-edge, AI-powered digital products and platforms. We partner with clients to leverage data and AI, accelerating market entry and driving business transformation. As a global community of innovators, we foster a culture of growth, collaboration, and impact. With the right people and the right ideas, there’s no limit to what we can achieve Are you a fit? Sounds awesome, right? Now, let’s make sure you’re a good fit for the role: Key Responsibilities Implementation of solutions based on BIAN (Banking Industry Architecture Network) standards. Data Modeling: ER (Entity-Relationship), Warehouse, Data Vault. ETL processes, orchestration. Real-time, near real-time, or asynchronous with in-memory or queued data. Design methods and patterns: Warehousing, Data Vault, Data Mesh, Data Fabric. Advanced SQL, stored procedures, data profiling, and data quality. Knowledge of BIG Data technologies such as: Hadoop, MapReduce, Hive, Spark, Flink, etc. BI (Business Intelligence) and data exploitation (or data utilization). MDM (Master Data Management) / Data Hubs. ECM (Enterprise Content Management). Basic knowledge of MLOps. Knowledge of banking regulation. Must-have Skills SQL Server, Postgres, MySQL, MongoDB, DynamoDB, or similar. Talend, Informatica, Pentaho, Airflow. Power BI, Tableau, QlikView, Looker Cloud, or similar. Anaconda, Colab, SAS, or similar. Axon (Informatica), Apache Atlas, Collibra, or similar. MEGA, ARIS. Tools for Data Cleaning and Enrichment. Tools for Document Management (or Document Control). Nice-to-have: AI Tooling Proficiency: Leverage one or more AI tools to optimize and augment day-to-day work, including drafting, analysis, research, or process automation. Provide recommendations on effective AI use and identify opportunities to streamline workflows. What we offer: A High-Impact Environment Commitment to Professional Development Flexible and Collaborative Culture Global Opportunities Vibrant Community Total Rewards *Specific benefits are determined by the employment type and location. Find out more about our culture here.

Responsibilities

The role involves implementing solutions based on BIAN standards and designing data models and ETL processes. Additionally, it includes working with advanced SQL and big data technologies to ensure data quality and management.